Abstract

Turnover in nursing homes is a major problem that threatens quality of care. Widespread staffing shortages already exist, and these shortages are projected to worsen. The lake of accurate data sources makes the study of nursing home staff turnover problematic. The purpose of this at the University of Missouri-Columbia. This TS mathematically estimates turnover from current payroll data including date-of-hire; job title, and full- or part-time status. TS scores from this sample of 72 Missouri nursing homes added to distribution data obtained during pilot testing; and nonparametric correlational analysis revealed significant relationships between lower turnover (TS scores) and lower rates of functional decline, urinary catheter use, urinary tract infection, and high risk pressure ulcers. Lower TS scores were also associated with higher RN staffing, and differences in TS scores were identified between full- and part-time staffing groups. TS scores were found to be valid and reliable when used with homogenous groups that include 20 or more individuals. Group size, the need to have homogeneity within groups, and limited access of nursing homes to electronic payroll data are limitations to the use of this TS. The use of cross-sectional data is a major advantage, and despite limitations this TS has the potential to provide an objective and consistent measure of turnover for use by providers, regulators, and researchers.

Description

This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3235154; ProQuest document ID: 305422919. The author still retains copyright.

C. Jo Riggs

Author Details

C. Jo Riggs, PhD, RN

Sigma Membership

Phi Gamma (Virtual)

Type

Dissertation

Format Type

Text-based Document

Study Design/Type

Cross-Sectional

Research Approach

Quantitative Research

Keywords:

Nursing Staffing Problems, Nursing Home Nurses, Job Satisfaction

Advisor

Marilyn J. Rantz

Degree

PhD

Degree Grantor

University of Missouri - Columbia

Degree Year

2005

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Proxy-submission

Date of Issue

2020-08-14

Full Text of Presentation

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